National Changhua University of Education Institutional Repository : Item 987654321/11702
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6507/11669
造访人次 : 30046012      在线人数 : 539
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/11702

题名: Developing the KMKE knowledge management system based on design patterns and parallel processing
作者: Lai, Lien-Fu;Wu, Chao-Chin;Huang, Liang-Tsung;Chang, Ya-Chin
贡献者: 資訊工程學系
关键词: Knowledge Engineering;Knowledge Management;Expert Systems;Design Patterns;Parallel Processing
日期: 2009-09
上传时间: 2012-07-02T02:02:45Z
出版者: Springer
摘要: KMKE provides a knowledge engineering approach to integrating knowledge management activities (such as knowledge modeling, knowledge verification, knowledge storage and knowledge querying) into a systematic framework. In this paper, we develop the KMKE knowledge management system based on design patterns and parallel processing. First, several design patterns are applied to develop the KMKE system for enhancing its flexibility and extensibility. Making the KMKE system flexible and extensible is useful to deal with continuous changes originated in knowledge. Second, JAVA programs and CLIPS programs are bound to offer the capability of knowledge inference for the KMKE system. Knowledge verification and knowledge querying can then be performed through the execution of CLIPS rules. Finally, we propose the Parallel CLIPS to shorten the execution time of the KMKE system. Since a large amount of knowledge may increase the execution time substantially, parallelizing the execution of CLIPS rules in cluster system could effectively reduce the search space of the CLIPS inference engine.
關聯: Lecture Notes in Computer Science (LNCS 5754): 928-938
显示于类别:[資訊工程學系] 期刊論文

文件中的档案:

档案 大小格式浏览次数
2050400710007.pdf84KbAdobe PDF524检视/开启


在NCUEIR中所有的数据项都受到原著作权保护.

 

DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈